Real-time continuous gesture recognition for natural human-c…

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36
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2014
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  • DOI 10.1109/vlhcc.2014.6883032
  • OpenAlex ID W2026258298
  • Type Conference-paper
  • Language EN
  • Published 01 Jul 2014
  • Pages 113–120
  • Source Proceedings/Proceedings -- IEEE Symposiu…
  • Publisher Institute of Electrical and Electro…
  • FWCI 4.11
  • Countries 1
  • Institutions 2
  • Added 10 Oct 2025
  • Updated 16 Oct 2026
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Real-time continuous gesture recognition for natural human-computer interaction

Conference-paper 2014 EN

Our real-time continuous gesture recognition system addresses problems that have previously been neglected: handling both gestures that are characterized by distinct paths and gestures characterized by distinct hand poses; and determining how and when the system should respond to gestures. Our probabilistic recognition framework based on hidden Markov models (HMMs) unifies the recognition of the t…

36

Citations

22

References

2

Authors

4.11

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1 Ying Yin MIT Computer Science and Artif… (US) Massachusetts Institute of Tec… (US)
2 Randall Davis MIT Computer Science and Artif… (US) Massachusetts Institute of Tec… (US)
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